Please complete the CAPTCHA to continue
@microsoft.com
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Scott Freitas is listed as Principal Applied Scientist @ Microsoft | ML PhD @ GT | NSF, IBM Research Fellow at Microsoft, a with 10 employees, based in Phoenix, Arizona, United States. AeroLeads shows a work email signal at microsoft.com and a matched LinkedIn profile for Scott Freitas.
Scott Freitas previously worked as Principal Applied Scientist at Microsoft and Senior Applied Scientist - 64 at Microsoft. Scott Freitas holds Doctor Of Philosophy - Phd, Machine Learning from Georgia Institute Of Technology.
This section adds company-level context without repeating Scott Freitas's masked contact details.
AeroLeads found 2 current-domain work email signals for Scott Freitas. Compare company email patterns before reaching out.
I’m a Principal Applied Scientist at Microsoft Security Research working at the intersection of applied and theoretical machine learning, with a focus on graph mining and deep learning. My goal is to develop explainable, robust, and efficient next-generation cybersecurity systems.I completed my Machine Learning PhD at Georgia Tech where I worked with Polo Chau. I co-authored several winning research proposals, including a multi-million dollar DARPA grant; was awarded PhD fellowships from IBM Research, NSF GRFP and Raytheon; and was fortunate to work with amazing engineers and scientists at IBM Research, Amazon, Microsoft Advanced Threat Protection, Microsoft Research, Intel and the Naval Air Warfare Center.
Listed skills include Python, Graph Mining, Neural Networks, Machine Learning, and 3 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Redmond, Washington, Us
✔️ Leading research into LLM-based agents to automatically identify detection and disruption rule gaps✔️ Shipped an ML-driven threat intelligence platform (TITAN) that fuels key detection and disruption capabilities for Microsoft Defender XDR✔️ Developed an adaptive incident prioritization score to assist in prioritizing security incidents for investigation
Redmond, Washington, Us
✔️ Led an ML research team in architecting and delivering key capabilities for our flagship AI product, Copilot for Security, including recommendations for similar incidents, triaging, and remediation. Collaborated across teams to launch the product on a tight timeline.✔️ Created an incident correlation architecture responsible for correlating billions of alerts across hundreds of thousands of enterprises. Reduced our singleton incident rate by 7%, translating into millions of investigation hours saved annually by SOCs.
Redmond, Washington, Us
✔️ Developed graph-based algorithms to identify alert correlation gaps, enabling the correlation of millions of alerts into comprehensive incident stories, saving customers millions in investigation time.✔️ Led the development and execution of a comprehensive research integration plan, successfully help merge two billion-dollar security products, M365D and Sentinel, into Microsoft Defender XDR.
Armonk, New York, Ny, Us
Worked with the Cyber Security Intelligence team to develop unsupervised graph representation learning techniques to detect anomalous activity in cloud platforms.
Atlanta, Georgia , Us
Worked at the intersection of applied and theoretical machine learning, with a focus on graph mining and deep learning. My goal was to develop explainable next-generation defenses to protect systems against adversarial attacks.
Seattle, Wa, Us
Developed unsupervised and semi-supervised methods to prevent fraudulent transactions across the Amazon marketplace
Redmond, Washington, Us
Worked with the Advanced Threat Protection team to develop a semi-supervised graph neural network approach to detect malicious software.
Redmond, Washington, Us
Worked with the Advanced Threat Protection team to design the first framework to model lateral attacks on enterprise networks, enabling IT admins to quantify and mitigate network vulnerability to lateral attacks.
Tempe, Az, Us
Developed web-based prototype for explainable ranking algorithm in complex multi-layered networks.Designed scalable algorithms to (i) improve local graph partitioning using both graph topology and attribute data, (ii) predict the evolution of local communities (https://arxiv.org/abs/1803.05084).
Tempe, Az, Us
Created augmented reality (AR) program for voice and touch interactions (e.g. rotate, scale, move, select) with graph models in Microsoft Hololens.
Tempe, Az, Us
Developed fast graph mining algorithms for network connectivity analysis. Designed award winning web platform for visualization and analysis (www.path-finder.io).
Fairfax, Va, Us
Worked on the Integrated Threat Force team to develop and refine the communication technology systems.
Tempe, Az, Us
Designed and taught lesson plans to new engineering students.
Orlando, Florida, Us
Designed systems to prevent electromagnetic interference from coupling into superconducting analog to digital receiver.
Other employees you can reach at microsoft.com. View company contacts for 10 employees →
Michael Tefa
Colleague at MicrosoftEgypt
View →
HA
H Alz
Colleague at MicrosoftJiddah, Makkah, Saudi Arabia
View →
RR
Rendy Rahardy
Colleague at MicrosoftKecamatan Bandung Kidul, West Java, Indonesia
View →
DT
Divyanshi Taneja
Colleague at MicrosoftMalout, Punjab, India
View →
BK
Bharathi Krishna Krishna
Colleague at MicrosoftBengaluru, Karnataka, India
View →
JM
James Miller
Colleague at MicrosoftBellevue, Washington, United States
View →
مم
محمود مسعد أبوالخير
Colleague at MicrosoftEl Manzala, Ad Daqahliyah, Egypt
View →
AA
Acin Acin
Colleague at MicrosoftKecamatan Dumai Timur, Riau, Indonesia
View →
KR
Krystyna Reisteter
Colleague at MicrosoftRedmond, Washington, United States
View →
CA
Chrisanda Ann
Colleague at MicrosoftRedmond, Washington, United States
View →
Quick answers generated from the profile data available on this page.
Scott Freitas works for Microsoft.
Scott Freitas is listed as Principal Applied Scientist @ Microsoft | ML PhD @ GT | NSF, IBM Research Fellow at Microsoft.
AeroLeads has found 2 work email signals at @microsoft.com for Scott Freitas at Microsoft.
Scott Freitas is based in Phoenix, Arizona, United States while working with Microsoft.
Scott Freitas has worked for Microsoft, Ibm, Georgia Institute Of Technology: Polo Club Of Data Science, Amazon, and Asu Data Lab.
Scott Freitas's colleagues at Microsoft include Michael Tefa, H Alz, Rendy Rahardy, Divyanshi Taneja, and Bharathi Krishna Krishna.
You can use AeroLeads to view verified contact signals for Scott Freitas at Microsoft, including work email, phone, and LinkedIn data when available.
Scott Freitas holds Doctor Of Philosophy - Phd, Machine Learning from Georgia Institute Of Technology.
Scott Freitas is listed with skills including Python, Graph Mining, Neural Networks, Machine Learning, Deep Learning, C++, and Graph Theory.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts